| 摘要: |
| 针对现有微博网络舆情分析的研究中没有从全局层面考虑舆情文本特征的情况，结合微博网络舆情的主题及趋向性分析，提出了基于主题发现的微博网络舆情分析模型，从文本预处理、微博文本特征提取、微博舆情的主题发现及趋向性分析三方面进行了具体描述。仿真结果表明,基于该模型实现的微博网络舆情分析方法在微博网络舆情的分析处理中检测效果良好，说明该模型有效。相关内容可为该领域的进一步研究提供有价值的参考。 |
| 关键词: 微博网络 舆情分析 主题发现 文本特征 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61170108）；浙江省自然科学基金资助项目（LQ13F020007）；上海市信息安全综合管理技术研究重点实验室开放课题（AGK2013003） |
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| Public opinion analysis based on topic detection in micro-blog network |
| PENG Hao,ZHOU Jie,ZHOU Hao,ZHAO Dandan |
| () |
| Abstract: |
| For the problem that current research on public opinion analysis in micro-blog network does not consider public opinion text features from the global level,a public opinion analysis model based on topic detection is presented according to micro-blog network public opinion topic and trend analysis.The model is described from three aspects,text preprocessing,micro-blog text feature extraction,topic detection and trend analysis.The simulation results show that the detection performance of the model is satisfying and the model is effective in the analysis of micro-blog network public opinion. This exploration in this paper can provide some valuable reference for further research in this field. |
| Key words: micro-blog network public opinion analysis topic detection text feature |
